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題名 | State Matrix Identification via Poisson Moment Functionals=PMF狀態矩陣參數識別法則 |
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作者姓名(中文) | 毛大喜; | 書刊名 | 中華工商專校學報 |
卷期 | 12 1995.12[民84.12] |
頁次 | 頁38-49 |
分類號 | 448.003 |
關鍵詞 | PMF狀態; 矩陣參數識別法則; |
語文 | 英文(English) |
中文摘要 | 本文導出帕松力矩函數識別法則,用於線性非時變系統的參數識別,此法則除了 提供任意未知初值狀況下的系統有效識別外,亦俱有精確、直接取樣、容易計算的優點,同 時適用於狀態空間系統識別,文內提供數值範例証明其適用性。 |
英文摘要 | Poisson moment functionals are used here to identify the state matrix of linear time- invariant systems. The method provides an effective system identification algorithm in the presence of arbitrary unknown initial conditions of control systems. The method has the desirable attributes of good accuracy, direct sample data, ease of calculation, and suitability for state-space models and arbitrary initial conditions. Examples are included to illustrate the applicability of the proposed method. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。